{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 《python数据可视化之matplotlib实践》\n",
    "## matplotlib可视化学习-chapter-7\n",
    "## 共享绘图区域的坐标轴\n",
    "\n",
    "把多张图片放在同一个画布，共享坐标轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "\n",
    "mpl.rcParams['font.sans-serif'] = ['FangSong']  # 显示中文\n",
    "mpl.rcParams['axes.unicode_minus'] = False # 不使用unicode_minus模式处理坐标轴轴线为负数的情况，\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 共享单一绘图区域的坐标轴\n",
    "\n",
    "ax.twinx()\n",
    "\n",
    "or\n",
    "\n",
    "\n",
    "ax.twiny()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "t = np.arange(0.05, 10.0, 0.01)\n",
    "s1 = np.exp(t)\n",
    "s2 = np.cos(t)\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots() # 默认一行一列\n",
    "ax.plot(t, s1, c='b',ls='--',label='$\\exp(x)$')\n",
    "ax.set_xlabel('x-axis') # 设置x坐标轴\n",
    "ax.set_ylabel('以e为底数的指数函数', color='b') # 设置y坐标轴\n",
    "ax.tick_params('y', colors='b') # y坐标轴的刻度\n",
    "\n",
    "\n",
    "## 关键，共享x坐标轴\n",
    "ax2 = ax.twinx() # Create a twin Axes sharing the xaxis\n",
    "\n",
    "ax2.plot(t, s2, c='g', ls=\":\",label='$\\cos(x)$')\n",
    "ax2.set_ylabel('余弦函数',color='r') #  设置y坐标轴\n",
    "ax2.tick_params('y', colors='r')\n",
    "plt.legend()\n",
    "\n",
    "plt.title('共享x轴')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Signature: ax.tick_params(axis='both', **kwargs)\\nDocstring:\\nChange the appearance of ticks, tick labels, and gridlines.\\n\\nParameters\\n----------\\naxis : {'x', 'y', 'both'}, optional\\n    Which axis to apply the parameters to.\\n\\n\""
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.tick_params()\n",
    "'''Signature: ax.tick_params(axis='both', **kwargs)\n",
    "Docstring:\n",
    "Change the appearance of ticks, tick labels, and gridlines.\n",
    "\n",
    "Parameters\n",
    "----------\n",
    "axis : {'x', 'y', 'both'}, optional\n",
    "    Which axis to apply the parameters to.\n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "t = np.arange(0.05, 10.0, 0.01)\n",
    "s1 = np.exp(t)\n",
    "s2 = np.cos(t)\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots() # 默认一行一列\n",
    "ax.plot(t, s1, c='b',ls='--',label='$\\exp(x)$')\n",
    "ax.set_xlabel('x-axis') # 设置x坐标轴\n",
    "ax.set_ylabel('以e为底数的指数函数', color='b') # 设置y坐标轴\n",
    "ax.tick_params('y', colors='b') # y坐标轴的刻度\n",
    "ax.legend()\n",
    "\n",
    "## 关键，共享x坐标轴\n",
    "ax2 = ax.twinx() # Create a twin Axes sharing the xaxis\n",
    "\n",
    "ax2.plot(t, s2, c='g', ls=\":\",label='$\\cos(x)$')\n",
    "ax2.set_ylabel('余弦函数',color='r') #  设置y坐标轴\n",
    "ax.tick_params(direction='out', length=6, width=2, colors='r',\n",
    "                   grid_color='k', grid_alpha=0.5)\n",
    "ax2.legend()\n",
    "\n",
    "plt.title('共享x轴')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## 共享不同子图的坐标轴\n",
    "\n",
    "调整subplots中的sharex或sharey参数\n",
    "\n",
    "\n",
    "sharex与sharey的取值共有4中，row\\col\\all\\none，其中all和none分别等同与true和false\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "### 共享不同子图的坐标轴\n",
    "# 调整subplots中的sharex或sharey参数\n",
    "\n",
    "# sharex与sharey的取值共有4中，row\\col\\all\\none，其中all和none分别等同与true和false\n",
    "\n",
    "\n",
    "x1 = np.linspace(-10,2*np.pi,100)\n",
    "y1 = np.sin(x1)\n",
    "\n",
    "x2 = np.linspace(0,4,100)\n",
    "y2 = np.random.randn(100)\n",
    "\n",
    "x3 = np.linspace(0,2*np.pi,100)\n",
    "y3 = np.cos(x3**2)\n",
    "\n",
    "x4 = np.linspace(0,4,10)\n",
    "y4 = np.power(x4,2)\n",
    "\n",
    "fig, ax = plt.subplots(2,2,sharex=False,sharey=False)\n",
    "\n",
    "ax[0,0].plot(x1,y1)\n",
    "ax[0,1].scatter(x2,y2)\n",
    "ax[1,0].plot(x3,y3)\n",
    "ax[1,1].scatter(x4,y4)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# 可以看到，四幅图的x轴y轴范围和刻度均不同"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 情况一\n",
    "\n",
    "\n",
    "### 共享不同子图的坐标轴\n",
    "# 调整subplots中的sharex或sharey参数\n",
    "\n",
    "# sharex与sharey的取值共有4中，row\\col\\all\\none，其中all和none分别等同与true和false\n",
    "\n",
    "\n",
    "x1 = np.linspace(-10,2*np.pi,100)\n",
    "y1 = np.sin(x1)\n",
    "\n",
    "x2 = np.linspace(0,4,100)\n",
    "y2 = np.random.randn(100)\n",
    "\n",
    "x3 = np.linspace(0,2*np.pi,100)\n",
    "y3 = np.cos(x3**2)\n",
    "\n",
    "x4 = np.linspace(0,4,10)\n",
    "y4 = np.power(x4,2)\n",
    "\n",
    "fig, ax = plt.subplots(2,2,sharex='all',sharey=False) # 修改\n",
    "\n",
    "ax[0,0].plot(x1,y1)\n",
    "ax[0,1].scatter(x2,y2)\n",
    "ax[1,0].plot(x3,y3)\n",
    "ax[1,1].scatter(x4,y4)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# sharex='all', x轴坐标相同, 为四幅图x轴的最小值到最大值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 情况一\n",
    "\n",
    "\n",
    "### 共享不同子图的坐标轴\n",
    "# 调整subplots中的sharex或sharey参数\n",
    "\n",
    "# sharex与sharey的取值共有4中，row\\col\\all\\none，其中all和none分别等同与true和false\n",
    "\n",
    "\n",
    "x1 = np.linspace(-10,2*np.pi,100)\n",
    "y1 = np.sin(x1)\n",
    "\n",
    "x2 = np.linspace(0,4,100)\n",
    "y2 = np.random.randn(100)\n",
    "\n",
    "x3 = np.linspace(0,2*np.pi,100)\n",
    "y3 = np.cos(x3**2)\n",
    "\n",
    "x4 = np.linspace(0,4,10)\n",
    "y4 = np.power(x4,2)\n",
    "\n",
    "fig, ax = plt.subplots(2,2,sharex='all',sharey='all') # 修改\n",
    "\n",
    "ax[0,0].plot(x1,y1)\n",
    "ax[0,1].scatter(x2,y2)\n",
    "ax[1,0].plot(x3,y3)\n",
    "ax[1,1].scatter(x4,y4)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# sharex='all', sharey='all', x、y轴坐标相同, 为四幅图x、y轴的最小值到最大值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 情况二\n",
    "\n",
    "\n",
    "### 共享不同子图的坐标轴\n",
    "# 调整subplots中的sharex或sharey参数\n",
    "\n",
    "# sharex与sharey的取值共有4中，row\\col\\all\\none，其中all和none分别等同与true和false\n",
    "\n",
    "\n",
    "x1 = np.linspace(-10,2*np.pi,100)\n",
    "y1 = np.sin(x1)\n",
    "\n",
    "x2 = np.linspace(0,4,100)\n",
    "y2 = np.random.randn(100)\n",
    "\n",
    "x3 = np.linspace(0,2*np.pi,100)\n",
    "y3 = np.cos(x3**2)\n",
    "\n",
    "x4 = np.linspace(0,4,10)\n",
    "y4 = np.power(x4,2)\n",
    "\n",
    "fig, ax = plt.subplots(2,2,sharex='row',sharey=False) # 修改\n",
    "\n",
    "ax[0,0].plot(x1,y1)\n",
    "ax[0,1].scatter(x2,y2)\n",
    "ax[1,0].plot(x3,y3)\n",
    "ax[1,1].scatter(x4,y4)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# sharex='row', sharey='all', 把每一行的图形的x轴取值范围实现共享，而且选择每一行中x轴取值范围的最大上下界"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 情况三 共享个别子区域的坐标轴\n",
    "\n",
    "\n",
    "### 共享不同子图的坐标轴\n",
    "# 调整subplots中的sharex或sharey参数\n",
    "\n",
    "# sharex与sharey的取值共有4中，row\\col\\all\\none，其中all和none分别等同与true和false\n",
    "\n",
    "\n",
    "x1 = np.linspace(-10,2*np.pi,100)\n",
    "y1 = np.sin(x1)\n",
    "\n",
    "x2 = np.linspace(0,4,100)\n",
    "y2 = np.random.randn(100)\n",
    "\n",
    "x3 = np.linspace(0,2*np.pi,100)\n",
    "y3 = np.cos(x3**2)\n",
    "\n",
    "x4 = np.linspace(0,4,10)\n",
    "y4 = np.power(x4,2)\n",
    "\n",
    "# fig, ax = plt.subplots(2,2)\n",
    "ax1 = plt.subplot(221)\n",
    "ax2 = plt.subplot(222)\n",
    "ax3 = plt.subplot(223,sharey=ax2)  # 2与3共享y轴\n",
    "ax4 = plt.subplot(224,sharex=ax1) # 1与4 共享x轴\n",
    "\n",
    "\n",
    "ax1.plot(x1,y1)\n",
    "ax2.scatter(x2,y2)\n",
    "ax3.plot(x3,y3)\n",
    "ax4.scatter(x4,y4)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
